Wellington Management→
Quantitative Trading Analyst at Wellington Management in Boston, MA
Entry LevelHybridFull-timeBoston, MA$90k–$180k/yr
Skills
python programmingsqlmachine learningdata analysisdata modelingtransaction cost analysis (tca)order executionrisk managementtrading workflowsfinancial markets knowledgeelectronic trading platformstrading systemsbusiness intelligence softwaretableau
Job Description
Summary: Wellington Management is one of the world’s largest independent investment management firms, offering comprehensive investment management capabilities. They are seeking a Quantitative Trading Analyst to join their Trading Research & Analytics team, focusing on improving trading execution results and developing analytical frameworks.
Responsibilities:
- Partnering with investors, traders, broker/dealers, and various internal stakeholders to improve overall execution results through innovation, actionable trading research and enhanced decision-making tools
- Designing a Transaction Cost Analysis (TCA) framework for Investment Implementation & Trading that supports our client reporting, best execution, and execution insights
- Working with trading technology, external vendors, and the dealer community on producing a high-quality data environment surrounding the life cycle of a trade
- Understanding equity and/or fixed income market structure trends and how to evolve our electronic trading strategy
Required Qualifications:
- Personal qualities and values that are consistent with, and would be additive to, Wellington Management's culture
- Self -motivated individual who exhibits ownership in their work with excellent independent decision-making skills and superior judgement
- Creative problem-solver who can work effectively under tight deadlines and other pressures
- Collaborative, team-player
- Experienced programmer in Python; working knowledge of SQL; familiarity with machine learning, data analysis, and data modeling
- Proven organizational and communication skills with an emphasis on accuracy, concision, and timeliness
- Working knowledge of quantitative tools and technologies used for Transaction Cost Analysis (TCA), order execution and risk management
- Experience in trading workflows and familiarity with financial markets; knowledge of electronic trading platforms and trading systems
- A minimum 1-3 years of relevant work experience in the financial services industry
- Strong academic credentials; a Bachelor's degree is required
Preferred Qualifications:
- Experience with business intelligence and data visualization software, preferably Tableau would be viewed favorably
- A graduate degree and/or professional coursework/certifications (or progress toward) would be additive
Required Skills: Python programming, SQL, Machine learning, Data analysis, Data modeling, Transaction Cost Analysis (TCA), Order execution, Risk management, Trading workflows, Financial markets knowledge, Electronic trading platforms, Trading systems, Business intelligence software, Tableau
Benefits: Salary, variable compensation, and benefits, Discretionary Corporate Bonus and/ or Incentives, if eligible, Retirement plan, Health and wellbeing, Dental, vision, and pharmacy coverage, Health savings account, Flexible spending accounts and commuter program, Employee assistance program, Life and disability insurance, Adoption assistance, Back-up childcare, Tuition/CFA reimbursement, Paid time off (leave of absence, paid holidays, volunteer, sick and vacation time), Employees work from our offices 4 days a week with flexibility to work remotely 1 day a week
Benefits
Salary, variable compensation, and benefits
Discretionary Corporate Bonus and/ or Incentives, if eligible
Retirement plan
Health and wellbeing
Dental, vision, and pharmacy coverage
Health savings account
Flexible spending accounts and commuter program
Employee assistance program
Life and disability insurance
Adoption assistance
Back-up childcare
Tuition/CFA reimbursement
Paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
Employees work from our offices 4 days a week with flexibility to work remotely 1 day a week